AI检测代码解析 frompathlibimportPathdefget_file_names(folder):folder_path=Path(folder)file_names=[file_path.nameforfile_pathinfolder_path.iterdir()iffile_path.is_file()]returnfile_names 1. 2. 3. 4. 5. 6. 在上面的代码中,Path类用于表示文件路径,iterdir()方法用于获取文件夹下的所有路径(包...
可以使用Path对象的iterdir()方法迭代访问一个目录下的所有文件和文件夹,然后使用name属性获取文件夹名。 下面是一个使用pathlib库的示例代码。 AI检测代码解析 frompathlibimportPathdefget_chinese_folder_names(path):folder_names=[]foriteminPath(path).iterdir():ifitem.is_dir():folder_name=item.nameifany('...
class Component: def __init__(self, name): self.name = name def move(self, new_path): new_folder = get_path(new_path) del self.parent.children[self.name] new_folder.children[self.name] = self self.parent = new_folder def delete(self): del self.parent.children[self.name] class ...
importarithmeticimportunittest# Testing add_numbers function from arithmetic. class Test_addition(unittest.TestCase): # Testing Integers def test_add_numbers_int(self): sum = arithmetic.add_numbers(50, 50) self.assertEqual(sum, 100) # Testing Floats def test_add_numbers_float(self): sum = ar...
``` # Python script to merge multiple Excel sheets into a single sheet import pandas as pd def merge_sheets(file_path, output_file_path): xls = pd.ExcelFile(file_path) df = pd.DataFrame() for sheet_name in xls.sheet_names: sheet_df = pd.read_excel(xls, sheet_name) df = df.ap...
首先,我将使用该 get_dummies 方法为分类变量创建虚拟列。 dataset = pd.get_dummies(df, columns = ['sex', 'cp','fbs','restecg','exang', 'slope','ca', 'thal'])from sklearn.model_selection import train_test_splitfrom sklearn.preprocessing import StandardScalerstandardScaler = StandardScaler(...
(Make sure you changed the present working directory to the folder you are going to create your Python library in (cd <path/to/folder>).) 继续并通过键入以下内容创建虚拟环境: Go ahead and create a virtual environment by typing: 代码语言:text ...
您可以使用pathlib将所有文件从一个文件夹复制到另一个文件夹: from pathlib import Pathfrom shutil import copysrc = Path(r"C:\Users\USERNAME\Documents\LocalFolder\reports\v2")dst = Path(r"T:\remoteReports\myTests\LocalFolder\reports\v2")for file in src.iterdir(): if file.is_file() and not...
fromsklearnimportdatasetsimportpandasaspd# SkLearn has the Iris sample dataset built in to the packageiris = datasets.load_iris() df = pd.DataFrame(iris.data, columns=iris.feature_names) 5-3 - 使用 Revoscalepy API 來建立資料表並載入 Iris 資料 ...
from pathlib import Path basepath = Path('my_directory') for entry in basepath.iterdir(): if entry.is_file(): print(entry.name) 在.iterdir() 产生的每一项调用 .is_file() 。产生的输出结果和上面相同: file1.py file3.txt file2.csv 如果将for循环和if语句组合成单个生成器表达式,则上述的...